Speaker

  • Dianne Cook (Professor at Monash University)

    Dianne Cook

    Professor at Monash University

Dianne Cook is Professor of Business Analytics at Monash University in Melbourne, Australia. Her research is in the area of data visualisation, especially the visualisation of high-dimensional data using tours with low-dimensional projections, and projection pursuit. A current focus is on bridging the gap between exploratory graphics and statistical inference. Technology plays an important role in data visualisation for evaluating effectiveness and for public consumption. Di utilises technology such as virtual environments, Amazon's Mechanical Turk, and eye-tracking in her work, and makes an effort to share her work with open source software. Di is a Fellow of the American Statistical Association, elected member of the International Statistical Institute, past-editor of the Journal of Computational and Graphical Statistics, elected Member of the R Foundation, and current editor of the R Journal. Education is an important part of her contributions, and mentoring graduate research is a significant activity. Several of her students have won the prestigious American Statistical Association John Chambers Software Award, including Hadley Wickham, Yihui Xie, Carson Sievert, and most recently, Monash student Earo Wang.

Abstract

Explainable Artificial Intelligence (XAI) is an emerging field of methods being developed to help interpretability for complex nonlinear models. At the core of XAI are local explanations, which provide insight into what factors most contribute to an individual prediction. Local interpretations examine the local neighbourhood of a predicted value. They can be converted into a linear combination of variables, which can then be interactively examined, against the predicted and observed values, using manual tour methods. This talk will describe how local explanations work, and also how to investigate the validity of any interpretations using visualisation.

This is joint work with Nicholas Spyrison and Przemyslaw Biecek

Tickets

In-person attendance should be confirmed by Friday, 18 November (17:00). Send an email to krugere@sun.ac.za to confirm your seat. In-person venue: Corner of Victoria and Bosman Streets, Van der Sterr Building, Room 2048. Refreshments to be served for in-person attendees after the seminar.

Seminar: Prof. Dianne Cook

By registering here, you will receive a link to join the seminar via MS Teams.

Standard Price Complimentary

MDAG workshop

Prof. Dianne Cook will also present a half-day Multivariate Data Analysis Group (MDAG) workshop at SASA 2022 on Monday, 28 November.

Title: Visual methods for multivariate data โ€“ a journey beyond 3D.